sample histogram

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• Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …   Wikipedia

• Normal probability plot — The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed. Example of a normal probability plot. The data are plotted against a theoretical normal… …   Wikipedia

• Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… …   Wikipedia

• Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   Wikipedia

• Cumulative frequency analysis — is the applcation of estimation theory to exceedance probability (or equivalently to its complement). The complement, the non exceedance probability concerns the frequency of occurrence of values of a phenomenon staying below a reference value.… …   Wikipedia

• Mode (statistics) — In statistics, the mode is the value that occurs most frequently in a data set or a probability distribution.[1] In some fields, notably education, sample data are often called scores, and the sample mode is known as the modal score.[2] Like the… …   Wikipedia

• Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… …   Wikipedia

• Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …   Wikipedia

• Descriptive statistics — quantitatively describe the main features of a collection of data.[1] Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a data set, rather than use the… …   Wikipedia

• Monte Carlo integration — An illustration of Monte Carlo integration. In this example, the domain D is the inner circle and the domain E is the square. Because the square s area can be easily calculated, the area of the circle can be estimated by the ratio (0.8) of the… …   Wikipedia

• Monte Carlo methods in finance — Monte Carlo methods are used in finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining their average… …   Wikipedia